Salesforce Certified Data Architect — Question 82
Northern Trail Outfitters (NTO) has a complex Salesforce org which has been developed over the past five years. Internal users are complaining about multiple data issues, including incomplete and duplicate data in the org. NTO has decided to engage a data architect to analyze and define data quality standards.
Which three key factors should a data architect consider while defining data quality standards? (Choose three.)
Answer options
- A. Measure data timeliness and consistency.
- B. Define key fields in a staging database for data cleansing.
- C. Identify an extract, transform, load (ETL) tool for more complete data migrations.
- D. Measure data completeness and accuracy.
- E. Define data duplication standards and rules.
Correct answer: A, D, E
Explanation
The correct answers, A, D, and E, focus on measuring and defining essential elements of data quality, such as timeliness, completeness, and duplication rules. Option B is not directly related to data quality standards, as defining fields for cleansing does not inherently measure or ensure data quality. Option C, while relevant for migrations, does not directly pertain to the standards for data quality itself.